Jörgen Eriksson
Kristoffer Holmqvist
Mikael Graffner
Email: publicera@lub.lu.se
+46 (0)46 222 0326
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Theses, dissertations and research publications (including journal articles, conference abstracts and books) from Lund University are collected in this database. Where possible, the option to download a full text document is available. It is also possible to search for Lund University student theses in the student theses database.
| Title | Associative Self-Organizing Map |
| Author/s | Magnus Johnsson, Christian Balkenius, Germund Hesslow |
| Department/s |
Cognitive Science
|
| Full-text | Full text is not available in this archive |
| Publication/Series | IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE |
| Publishing year | 2009 |
| Pages | 363 - 370 |
| Document type | Conference |
| Conference name | International Conference on Neural Computation (ICNC) 2009 |
| Conference date | 2009-10-05/2009-10-07 |
| Conference location | Madeira, Portugal |
| Status | published |
| Quality controlled | yes |
| Language | English |
| Publisher | INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION |
| Abstract English | We present a study of a novel variant of the Self-Organizing Map (SOM) called the Associative Self-Organizing Map (A-SOM). The A-SOM is similar to the SOM and thus develops a representation of its input space, but in addition it also learns to associate its activity with the activity of one or several external SOMs. The A-SOM has relevance in e.g. the modelling of expectations in one modality due to the activity invoked in another modality, and in the modelling of the neuroscientific simulation hypothesis. The paper presents the algorithm generalized to an arbitrary number of associated activities together with simulation results to find out about its performance and its ability to generalize to new inputs that it has not been trained on. The simulation results were very encouraging and confirmed the ability of the A-SOM to learn to associate the representations of its input space with the representations of the input spaces developed in two connected SOMs. Good generalization ability was also demonstrated. |
| Subject |
Science General |
| Keywords | Neural network, Self-organizing map, Associative self-Organizing map, A-SOM, SOM, ANN, Expectations, Simulation hypothesis, Cognitive modelling |
| ISBN/ISSN/Other |
ISBN: 978-989-674-014-6 |
| Research group | Lund University Cognitive Science (LUCS) |
| Project | Cognition, Communication and Learning |
Jörgen Eriksson
Kristoffer Holmqvist
Mikael Graffner
Email: publicera@lub.lu.se
+46 (0)46 222 0326
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